Senior Analytics Engineer
Genius Sports
- London
- Permanent
- Full-time
- One Team
- We're Brave
- We Drive Change
- Develop and own logical and physical data models/databases.
- Designing and developing data transformation pipelines based on foundational data built out by our Engineering team to deliver insightful data models
- Ensuring documentation excellence of the above, both directly within our codebase and within our Data Catalogue
- Identification of opportunities to shape our analytical data landscape to deliver wider business value.
- Act as a community leader within our wider business user base
- Ensuring compute and cost-efficient modelling processes
- Coordinate with Engineering DataOps team to ensure robust ownership processes of pipelines and projects.
- Translation of stakeholder requirements and business processes into actionable data model
- Inspire wider team with promotion of the art of the possible, and new advancements in technology.
- 5+ years' experience in relevant technical discipline
- Highly proficient and experienced user of dbt (ideally Cloud)
- Extensive knowledge of dimensional modelling techniques
- Significant experience with some of the following tools
- Databricks
- Snowflake
- Power BI
- Gitlab
- Fivetran
- Comfortable with initial ambiguity of problem statements and adept in distilling those down to deliverable action
- Excellent verbal and written communication skills
- Previous experience in contributing to an Enterprise-wide data catalogue
- Experience with data modelling and report creation in Power BI
- Competence in Data Analysis in Python
- Comfortable interacting with APIs
- Exposure to DataOps and CI/CD pipelines within GitLab in particular
- General passion for Sports